Environmental Modeling and Prediction

Quantitative analysis of marine and atmospheric systems is an important part of SoMAS research. Our faculty are involved in a diversity of research efforts that employ modeling and other quantitative tools to better understand and predict oceanographic, atmospheric and ecological processes. By combining mathematical models and empirical data, SoMAS faculty gain insight into the causes and consequences of natural phenomena and human disturbances. Here are a few examples of current quantitative research at SoMAS:

• Understanding the causes and consequences large-scale oceanographic phenomena
• Role of oceanic processes on global carbon cycles
• Evaluating mechanisms of climate change
• Exploring the impact of physical circulation and oceanographic features on biological resources
• Assessing anthropogenic impacts on food web dynamics
• Predicting regional weather from meso-scale models

Researchers:

Bokuniewicz, Bowman, Cerrato, Chang, Colle, Flagg, Fisher, Frisk, Hameed, Lwiza, Munch, Peterson, Wang, Zhang